基于变速运动想象脑电信号的柔性控制机理研究

Manipulating EEG based equipments is a current research focus, which makes people could control the equipments without utilizing any muscular channels but onlly by their minds. And according to the current studies, most of the brain controlled system can only control equipments in a simple way, which makes the movement speed of the equipments unchangeable. To solve this problem, this application proposes a flexible control research based on variable speed motor imagery EEG. The features of EEG signals under imagination of lifting left/right arm at different speed continuously are extracted. And then, the regression analysis methods are used for modeling the EEG features and the imaged speed and direction. After finding the model, a bilateral trainning could be formed combined with the training of visual feedback, which will optimize the parameters of the model and the adaptation of users. And after all these have been throuth, the users can change the speed and direction of the equiments through the imagination of movement at different speed and direction, which will make the control of EEG based control system flexible. This study has important significance to improve the quality of life of the disabled, and also helps to further reveal the characteristics and working mechanism of brain during motor imagery tasks.

基于脑电信号来操控设备是当前研究的热点，通过这种方式可以使人们无需借助传统的神经肌肉通道来实现大脑对设备的直接控制。但目前的脑电控制系统普遍存在控制设备的运动模式过于单一，设备运动速度无法自主控制的情况。针对这一问题，本申请提出基于变速运动想象脑电信号特征对设备的运动速度进行控制的研究。项目研究想象左/右手臂在不同速度下连续从静止状态到抬起的过程，检测想象这些运动过程中的脑电信号并提取特征，结合回归分析等方法对脑电信号特征与想象运动速度及方向进行建模分析。获得模型后，结合视觉反馈进行模型与人之间的双向训练，通过训练使模型参数以及人的适应度得到最优化。最终使操作者可以通过改变运动想象速度及方向来自由控制设备的运动速度及方向，从而达到基于脑电信号进行柔性控制的目的。该研究对提高残障人士的生活质量具有重要的意义，有助于进一步揭示大脑在进行运动想象时的工作特点及工作机理。